A PROCESSING TOOL FOR EMOTIONALLY COLOURED SPEECH
Ronald Böck, Ingo Siegert, Bogdan Vlasenko, Andreas Wendemuth, Matthias Haase, Julia LangeAbstract
In speech recognition and emotion recognition from speech, qualitatively high transcription and annotation of given material is important. In this demo, we introduce a tool, ikannotate, to combine prosodic information with emotion labelling. It allows the generation of a transcription of material directly annotated with prosodic features. Furthermore, material can be emotionally labelled according to Basic Emotions, the Geneva Emotion Wheel, and Self Assessment Manikins.
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